A fully funded PhD position is available at the École de technologie supérieure (ÉTS) in Montreal, Canada, under the supervision of Full Professor Rami Langar. The research focuses on Reconfigurable Intelligent Surfaces (RIS) and O-RAN for energy-efficient and adaptive 6G wireless connectivity, with a strong emphasis on AI/ML-driven optimization for 5G/6G networks. This opportunity is part of an industry collaboration with LATYS and is funded by the Natural Sciences and Engineering Research Council of Canada (NSERC) Alliance, Mitacs, and LATYS.

The ideal candidate will have a completed or soon-to-be-completed Master’s degree and a strong background in optimization, wireless communications, and/or machine learning. Experience with system and testbed development is considered an asset. Priority will be given to candidates currently based in Canada. The research will involve developing and optimizing RIS-assisted O-RAN networks, leveraging AI and ML techniques to enhance energy efficiency and adaptability in next-generation wireless systems.

The position offers full funding, including stipend and research expenses, as part of a collaborative project with industry partners. The application deadline is April 30, 2026. Interested candidates should prepare a CV, academic transcripts, a brief statement of research interests, and examples of relevant publications, and send them to Professor Rami Langar at [email protected].

Key research areas include Reconfigurable Intelligent Surfaces, O-RAN, 6G wireless connectivity, AI/ML optimization, wireless communications, and testbed development. This is an excellent opportunity for students interested in cutting-edge research at the intersection of electrical engineering, computer science, and industry collaboration.